About the Project We are looking for a fully‑funded Postdoctoral fellow at the University of Bern to work on the atmospheres of transiting sub‑Neptunes. The fellow will contribute to the SNSF‑funded “Exo‑Neptune Census” starting grant led
PhD Position in Statistics with a focus on Statistical Machine Learning for Self-Driving Microscopy 100% Joint project between – Pertz Lab () & D. Ginsbourgers Group () We are seeking highly qualified, motivated and creative candidates
Joint project between – Pertz Lab () & D. Ginsbourgers Group () We are seeking highly qualified, motivated and creative candidates wishing to join a collaborative project at the interface of statistical machine learning and live-cell
Your profile The ideal candidate would have expertise in applying Bayesian statistical methods to astronomical datasets, experience modelling exoplanetary transits, deep knowledge of atmospheric physics (e.g. chemistry, radiative transfer, etc.), and a proven track record as an
UniBE is prestigious. With us, you benefit from the excellent reputation of a long-standing institution all around the world. Your profile The ideal candidate would have expertise in applying Bayesian statistical methods to astronomical datasets, experience